Slope ecological protection technology is a form of slope with high ornamental and good economic value. At present, it widely used in highways urban streets’ works. However, its use not very common mountain tourism highways; hence, necessary to implement strategies for highway design promote excellent development.

Given terrain information and user preferences such as desired city size, Autopolis generates commercial and industrial centers, and grows areas surrounding these centers. The program also creates streets and highways, and assigns a land-use for each parcel. Compared with previous methods, Autopolis generates cities with better realism, greater detail in layout, and more design variety.

Map legends are keys to the understanding of symbols used on maps. Without such legends and the knowledge to interpret them, maps are reduced to mere pictures. While it is possible to semiautomatically extract text, contour lines, major transportation infrastructure, and so forth from maps, more complex aspects and the relation between symbols get lost. Even if these features get accurately ext...

There is growing evidence of a distinct set of freshly-emitted air pollutants downwind from major highways, motorways, and freeways that include elevated levels of ultrafine particulates (UFP), black carbon (BC), oxides of nitrogen (NOx), and carbon monoxide (CO). People living or otherwise spending substantial time within about 200 m of highways are exposed to these pollutants more so than per...

Over the past years, user-generated content has gained more prominence in the area of geographic information science. In many geo-spatial applications, sketch maps are considered an intuitive user interaction modality. As typically only qualitative relations are persevered in sketch maps, processing spatial information on qualitative level has been suggested. The information represented in sket...

In order to simulate congestion of road traffic system, it is indispensable to describe vehicles having their own decision-making capabilities, and to have detailed and exact road condition data on the road system. The road system is composed of such roads as streets, avenues and highways, and their intersections. In this study, we represent it by a network in which roads are arcs and intersect...

This project explores the use of machine learning techniques to accurately predict travel times in city streets and highways using floating car data (location information of user vehicles on a road network). The aim of this report is twofold, first we present a general architecture of solving this problem, then present and evaluate few techniques on real floating car data gathered over a month ...

Cognitive representations of learned map information are subject to systematic distortion errors. Map elements that divide a map surface into regions, such as content-related linear symbols (e.g. streets, rivers, railway systems) or additional artificial layers (coordinate grids), provide an orientation pattern that can help users to reduce distortions in their mental representations. In recent...